Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of esophageal cancer for therapeutic targeting

Esophageal cancer (EC) is a type of aggressive cancer without clinically relevant molecular subtypes, hindering the development of effective strategies for treatment. To define molecular subtypes of EC, we perform mass spectrometry-based proteomic and phosphoproteomics profiling of EC tumors and adj...

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Veröffentlicht in:Nature communications 2021-08, Vol.12 (1), p.4961-4961, Article 4961
Hauptverfasser: Liu, Wei, Xie, Lei, He, Yao-Hui, Wu, Zhi-Yong, Liu, Lu-Xin, Bai, Xue-Feng, Deng, Dan-Xia, Xu, Xiu-E, Liao, Lian-Di, Lin, Wan, Heng, Jing-Hua, Xu, Xin, Peng, Liu, Huang, Qing-Feng, Li, Cheng-Yu, Zhang, Zhi-Da, Wang, Wei, Zhang, Guo-Rui, Gao, Xiang, Wang, Shao-Hong, Li, Chun-Quan, Xu, Li-Yan, Liu, Wen, Li, En-Min
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Sprache:eng
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Zusammenfassung:Esophageal cancer (EC) is a type of aggressive cancer without clinically relevant molecular subtypes, hindering the development of effective strategies for treatment. To define molecular subtypes of EC, we perform mass spectrometry-based proteomic and phosphoproteomics profiling of EC tumors and adjacent non-tumor tissues, revealing a catalog of proteins and phosphosites that are dysregulated in ECs. The EC cohort is stratified into two molecular subtypes—S1 and S2—based on proteomic analysis, with the S2 subtype characterized by the upregulation of spliceosomal and ribosomal proteins, and being more aggressive. Moreover, we identify a subtype signature composed of ELOA and SCAF4, and construct a subtype diagnostic and prognostic model. Potential drugs are predicted for treating patients of S2 subtype, and three candidate drugs are validated to inhibit EC. Taken together, our proteomic analysis define molecular subtypes of EC, thus providing a potential therapeutic outlook for improving disease outcomes in patients with EC. Proteomics can aid in the identification of molecular subtypes in cancers. Here, the authors perform proteomic profiling of 124 paired oesophageal cancer and adjacent non-tumour tissues and identify two subtypes that are associated with patient survival for therapeutic targeting.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-021-25202-5